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Understanding the accuracy of the predictions made by Dolphin VTO can help a clinician in the treatment planning of complicated surgical cases and better inform patients and set realistic expectations.
Given the significant resource cost of such methods, especially in settings where populations are mobile, understanding the accuracy of partner-reported ages is important for research and for interventions.
Understanding the accuracy of self-reported data and developing prediction models that correct for underreporting of hypertension in self-reported data can be critical tools in the development of more accurate population level estimates, and in planning population-based interventions to reduce the risk of, or more effectively treat, hypertension.
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Understanding the accuracy, advantages, and disadvantages of the available methods for staging non-small cell lung cancer is critical to decision-making.
The ability to compare diagnoses captured on the interRAI instruments with outpatient data (e.g., physician billing data), which would include more comprehensive patient profiles than administrative data, would be helpful in understanding further the accuracy of diagnostic information on interRAI assessments.
While the latter concept is central to understanding the predictive accuracy of correlative niche models projected under climate change, the present concepts are used as metrics for understanding the extent to which intrinsic physiological and extrinsic abiotic constraints explain species' distributional limits.
Decision-makers need to understand the nature of a PS diagnosis and have a clear understanding of the accuracy of the diagnostic procedure used in a program.
Their eminences added that this was "contrary to general public understanding of the accuracy of the diagnoses".
The results should contribute to a better understanding of the accuracy of vortex methods in both resolved and underresolved simulations.
A precise understanding of the accuracy of reaction rate constants, whether determined experimentally or theoretically, is of considerable importance to kinetic modelers.
Process studies of the biochemical and physiological mechanisms controlling these emissions are advancing our understanding and the accuracy of model predictions but efforts to quantify regional emissions have been limited by a lack of constraints on regional distributions of ecosystem emission capacities.
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